Data Science,Predictive Analytics,and Big Data: A Revolution That Will Transform Supply Chain Design and Management

We illuminate the myriad of opportunities for research where supply chain management (SCM) intersects with data science, predictive analytics, and big data, collectively referred to as DPB. We show that these terms are not only becoming popular but are also relevant to supply chain research and education. Data science requires both domain knowledge and a broad set of quantitative skills, but there is a dearth of literature on the topic and many questions. We call for research on skills that are needed by SCM data scientists and discuss how such skills and domain knowledge affect the effectiveness of an SCM data scientist. Such knowledge is crucial to develop future supply chain leaders. We propose definitions of data science and predictive analytics as applied to SCM. We examine possible applications of DPB in practice and provide examples of research questions from these applications, as well as examples of research questions employing DPB that stem from management theories. Finally, we propose specific steps interested researchers can take to respond to our call for research on the intersection of SCM and DPB.     

Leveraging Big Data to Develop Supply Chain Management Theory: The Case of Panel Data

Increased data availability is poised to shape both business practice and supply chain management (SCM) research. This article addresses an issue that can arise when trying to use big data to answer academic research questions. This issue is that distilled data often have a panel structure whereby repeated measurements are available on one or more variables for a substantial number of subjects. Thus, to fully leverage the richness of big data for academic research, SCM scholars need an understanding regarding the different types of research questions answerable with panel data. In this article, we devise a framework detailing different types of research questions SCM scholars can answer with panel data. This framework provides a basis to categorize how SCM scholars have examined the services supply chain setting of health care with public data regarding hospital‐level patient satisfaction. We extend prior research by testing a series of three questions not yet examined in this area by fitting a series of structured latent curve models to seven years of hospital‐level patient satisfaction for nearly 4,000 hospitals. The discussion highlights theoretical and methodological challenges SCM scholars are likely to encounter as they use the panel data in their research.     

The building blocks of a supply chain management theory: Using factor market rivalry for supply chain theorizing

As the supply chain discipline matures, opportunities emerge to develop or define theories that are specific to supply chain phenomenon. The current research specifies characteristics that we offer which comprise the building blocks of supply chain theory. These characteristics include the flows of material through a supply chain network, the temporal management of these material flows, the dyadic and triadic interactions of firms within the supply chain network, and the outward focus on supply chain management (SCM), in other words a supply chain orientation, of firms in a supply chain. Further, recognizing that supply chain theories must contain the previously identified characteristics, we offer Factor Market Rivalry (FMR) as a theory of SCM. FMR refers to intense battles for resource positions that are needed to manufacture, provide, or deliver firm products or services. We argue that FMR only occurs within supply chain phenomena. The piece concludes with a future research agenda based upon the practical implications of further developing FMR as a theory of SCM.     

A Review of Sustainable Supply Chain Management Practices in Canada

There is a growing body of research on the theory and practice of sustainable supply chain management (SSCM). However, relatively little research has been conducted on the extent to which corporations have integrated sustainability principles into the management of their supply chain and the evaluation of supplier performance. The purpose of this article is to explore the extent to which corporate sustainability principles are integrated into supply chain management (SCM) in corporations. Canada is used as a case study in this article. The study included a content analysis of one hundred Canadian corporate sustainable development reports and in-depth interviews with 18 Canadian experts on SSCM. The article highlights the wide array of ways in which Canadian corporations address SSCM issues. Amongst other topics, issues associated with supply chain governance, standards for SSCM, collaboration with suppliers, performance measurement, and accountability within the supply chain are explored. The findings reveal that there are many challenges in integrating sustainability into SCM. These challenges shed light on possible future directions for research in SSCM. This article underlines the need for research that reflects the interconnected nature of the economic, environmental, and social dimensions of sustainability, particularly as it relates to measuring supplier performance on sustainability initiatives.     

A Primer on Moderated Mediation Analysis: Exploring Logistics Involvement in New Product Development

Theorizing and empirically testing moderated mediation hypotheses allows logistics and supply chain management (L&SCM) scholars to extend the boundaries of our current understanding by examining how, when, and why relationships arise between constructs central to our theories. However, while moderated mediation analyses can enrich theory in L&SCM, they are few in number, likely due to the complexities associated with their execution. In this article, we provide a didactic treatment for executing moderated mediation analysis. We do so using primary data regarding logistics involvement in new product development. In the hopes of spurring greater application of moderated mediation in L&SCM, we devise a series of recommendations that guide scholars through the process of conducting such analyses. These recommendations extend prior treatments by explaining how to address challenges associated with devising theories to undergird moderated mediation hypotheses, measuring constructs using multiple indicators, providing guidance for detecting influential cases that can unduly affect results, and integrating what results should be reported.     

Data Science,Predictive Analytics,and Big Data in Supply Chain Management: Current State and Future Potential

While data science, predictive analytics, and big data have been frequently used buzzwords, rigorous academic investigations into these areas are just emerging. In this forward thinking article, we discuss the results of a recent large‐scale survey on these topics among supply chain management (SCM) professionals, complemented with our experiences in developing, implementing, and administering one of the first master's degree programs in predictive analytics. As such, we effectively provide an assessment of the current state of the field via a large‐scale survey, and offer insight into its future potential via the discussion of how a research university is training next‐generation data scientists. Specifically, we report on the current use of predictive analytics in SCM and the underlying motivations, as well as perceived benefits and barriers. In addition, we highlight skills desired for successful data scientists, and provide illustrations of how predictive analytics can be implemented in the curriculum. Relying on one of the largest data sets of predictive analytics users in SCM collected to date and our experiences with one of the first master's degree programs in predictive analytics, it is our intent to provide a timely assessment of the field, illustrate its future potential, and motivate additional research and pedagogical advancements in this domain.     

A Challenge in Our Time: Issues of Race in Supply Chain Management

This editorial addresses one of the greatest challenges of our time—racial inequality. Logistics and supply chain management (SCM) factor prominently in people’s everyday experiences, as consumers of products and logistics services as well as through participation in logistics and supply chain workforces. These everyday experiences can be quite disparate depending on one’s race. As academics, we have a responsibility to peel back the layers of how these issues of race and diversity impact and interact with supply chain phenomena. This editorial is intended to bolster conversation around these issues. We identify compelling themes that merit consideration and, perhaps, deeper investigation, including race as an individual difference variable in our research, race in SCM talent and leadership, and race and racism in SCM execution. We also call for more research that addresses racial inclusion and equal access in other aspects of SCM in light of its far-reaching influence in the realms of business and society. The time has come to address these pervasive issues affecting organizations and individuals. We also introduce the articles appearing in the current issue of the journal.     

Developing and Testing a Dynamic Theory of Motor Carrier Safety

Developing an understanding of the longitudinal relationships between different measures of motor carrier safety is important to advance theory and practice regarding this significant supply chain management and public policy issue. In this article, we combine core principles from several theoretical traditions to propose a dynamic theory of motor carrier safety that specifies the longitudinal relationships between three core measures of safety publically reported by the Federal Motor Carrier Safety Administration: unsafe driving, hour‐of‐service compliance, and vehicle maintenance. We test this theory using four years of longitudinal data on motor carrier safety for a random sample of large, for‐hire motor carriers. Results from fitting a vector multivariate autoregressive moving average time‐series model are largely consistent with the theory we propose. We describe the implications of our research for supply chain management theory and practice, summarize limitations, and suggest directions for future research.     

An Empirical Taxonomy of Supply Chain Management Practices

We develop an empirical taxonomy of supply chain management (SCM) practices grounded in the capability‐based view. Three groups—transactional SCM, translational SCM, and relational SCM—were identified using cluster analysis of data collected from over 200 U.S. manufacturing firms. We explain the differences among these groups and their relationship to improvements in supplier and buyer performance. Finally, we discuss implications for research and practice in SCM.     

Interdisciplinary Research in SCM: Through the Lens of the Behavioral Theory of the Firm

To accelerate research discoveries—those required to address paramount challenges facing business today—researchers from diverse disciplines must work together. Interdisciplinary research (IDR) is a research that involves bringing together perspectives from two or more disciplines in an integrative manner to address complex and multifaceted supply chain management (SCM) problems. IDR is needed to address contemporary business challenges. We look at SCM research through the lens of the Behavioral Theory of the Firm (BTF) drawing parallels in research evolution and noting similar antecedents in theoretical development. We point to the advances BTF has offered to organizational theory built on IDR and consider the possibilities for SCM. We make a case for methodological diversity in supporting this research, further paralleling lessons from BTF. Last, we describe the state of IDR in SCM today, discuss the objective of this special issue, and showcase the five contributing papers.     

Supply Chain Management at the Crossroads: Divergent Views,Potential Impacts,and Suggested Paths Forward

The academic field of supply chain management (SCM) is comprised of scholars holding four different worldviews based on their academic heritages. This situation presents both threats and opportunities for SCM scholarship and practice. In this brief paper, we explain why we see this occurring, and actions that academics might take in order to form a more cohesive and effective SCM discipline.     

The Struggle is Real: Insights from a Supply Chain Blockchain Case

Despite the anticipated benefits and the numerous announcements of pilot cases, we have seen very few successful implementations of blockchain technology (BCT) solutions in supply chains. Little is empirically known about the obstacles to blockchain adoption, particularly in a supply chain's interorganizational setting. In supply chains, blockchains' benefits, for example, BCT‐based tracking and tracing, are dependent on a critical mass of supply chain actors adopting the technology. While previous research has mainly been conceptual and has lacked both theory and empirical data, we propose a theory‐based model for interorganizational adoption of BCT. We use the proposed model to analyze a unique in‐depth revelatory case study. Our case study confirms previous conceptual work and reveals a paradox as well as several tensions between drivers for and against (positive and negative determining factors, respectively) of BCT adoption that must be managed in an interorganizational setting. In this vertical context, the adoption and integration decision of one supply chain actor recursively affects the adoption and integration decisions of the other supply chain actors. This paper contributes midrange theory on BCT in supply chain management (SCM), future research directions, and managerial insights on BCT adoption in supply chains.     

Focus on Fairtrade: Propositions for Integrating Fairtrade and Supply Chain Management Research

Driven by increased consumer interest and stakeholder pressure, the number of Fairtrade (FT) products has been steadily increasing. The mainstreaming of FT means that the products are now facing stiff competition within the generic product categories in which they operate. While consumers may pressure organizations for ethical conduct, they are less willing to pay premium prices for fairly traded products. For FT to continue to grow, more efficient operating models are required to offset the premium prices paid to producers to ensure competitiveness in the market. One such improvement approach may be the management of FT supply chains. To investigate the feasibility of this approach, this article systematically combines literature on FT with key supply chain management (SCM) constructs and theories. We discuss existing SCM paradigms in the context of FT and demonstrate aspects where the efficiency of FT chains needs to be improved to ensure their viability. We present propositions that demonstrate the key limitations of the FT model from the point of view of SCM theory and practice and suggest the potential changes needed in the management of FT supply chains. The article provides a timely first attempt to systematically combine FT with SCM constructs, thus establishing a basis for the further development of FT chains and for the improvement of the operating efficiency within them.     

Considering Supply Chain Management's Professional Identity: The Beautiful Discipline (Or, “We Don't Cure Cancer,But We Do Make a Big Difference”)

In recent months, we have participated in various discussions on the future of logistics and supply chain management (SCM). As the newest business discipline, it is not surprising that SCM is going through growing pains and seeking to chart its future course and define a meaningful destiny. Considering professional identity—that is, who are we and what do we do—is a natural part of maturation. As JBL exists to help construct the discipline's identity, we address SCM's value‐creation competence as a source of identity construction. As we explain, SCM's economic and social contributions are not just noteworthy but remarkable. Modern SCM makes a difference to the people of the world, driving economic growth and raising living standards. Truly, it is a good time to be a supply chain professional. Much research, however, needs to be conducted if we are to fulfill SCM's value‐creation promise.     

A supply chain management framework for services

While services represent the largest sector of the global economy, 86.8% in the United States, most supply chain management (SCM) research is focused on product flows. Executives in manufacturing firms have benefited from frameworks created to implement SCM processes, but this is not the case for their counterparts in service companies. The two most cited SCM frameworks for services have methodological and conceptual deficiencies. Drawing upon the service-dominant logic of marketing and using an empirical research approach, we developed supply chain structure maps for nine service firms. Our findings indicate that the supply chain structure maps of service companies are comparable to those in the product-based literature, which supports the service-dominant logic. Then, we identified the six key processes that constitute a framework to manage service supply chains. The customer relationship management and the supplier relationship management processes form the critical links in the supply chain, and the other four processes are coordinated through this linkage. The SCM framework for services provides direction for executives in service firms who need to increase cross-functional integration within their firms and with other members of the supply chain. For academics, 12 avenues for future research are identified.     

Click Here for a Data Scientist: Big Data,Predictive Analytics,and Theory Development in the Era of a Maker Movement Supply Chain

Predictive analytics is impacting many diverse areas, ranging from baseball and epidemiology to forecasting and customer relationship management. Manufacturers, retailers, software companies, and consultants are creatively discovering new applications of big data using predictive analytics in supply chain management and logistics. In practice, predictive analytics is generally atheoretical; however, we develop a 2 × 2 model to explain the role of predictive analytics in the theory development process. This 2 × 2 model shows that in our discipline we have traditionally taken one path to theory development, but that predictive analytics can be a salient component of a comprehensive theory development process. The model points to a number of research questions that need to be addressed by our research community. These questions are not just highly relevant to the academic community but also in urgent need of answers to help practitioners execute the right strategies with greater precision and efficiency. We also discuss how one disruptive trend, the maker movement, changes the nature of who the producers are in the supply chain, making big data even more valuable. As we engage in higher levels of dialogue we will be able to make meaningful progress addressing these vital research topics.     

Sustainable Supply Chain Management Integration: A Qualitative Analysis of the German Manufacturing Industry

Firms are increasingly integrating sustainability into their supply chain management (SCM) practices. The goal is to achieve sustainable flows of products, services, information and capital to provide maximum value to all corporate stakeholders. Prior research on SCM integration has insufficiently addressed sustainability. The objective of this research is to provide for a coherent and testable model of sustainable supply chain management integration (SSCMI). By drawing on four cases from the German manufacturing industry, we seek to identify the most important factors that enable or impede the integration of sustainability into SCM.     

Addressing skills mismatch: Utilizing talent supply chain management to enhance collaboration between companies and talent suppliers

Talent management continues to be a topic of interest for employers who face significant challenges dealing with the uncertainty of the supply and demand of talent in organizations. In particular, employers often speak of a talent gap that exists between the skills possessed by applicants and the skills needed in organizations. Supply chain management (SCM), a field that focuses on matching product supply with consumer demand, offers several concepts and models that could apply to and help resolve issues related to the skills mismatch. In order to address this issue, we base our conceptual development on a theoretical framework used in SCM called the collaborative, planning, forecasting, and replenishment (CPFR) approach. We use this approach to develop a comprehensive model of talent supply chain management (TSCM) that applies concepts related to the field of SCM to managing the development and flow of talent. We further go on to describe how organizations can utilize TSCM to enhance connections with talent suppliers to get their labor demands fulfilled with individuals who have the necessary skills for success.     

Click Here to Print a Maker Movement Supply Chain: How Invention and Entrepreneurship Will Disrupt Supply Chain Design

Emerging technologies such as 3D printing promise to transform supply chain design and management. As these new technologies enable inventors to become entrepreneurs, new product introduction cycle times are being reduced and the variety of new products that are introduced through short channels of distribution is increasing. We show that these disruptive forces are growing and may have significant implications for practice, research, and teaching in supply chain management. We identify and elaborate important research questions, calling for theory‐driven research to explain and predict how these phenomena will impact supply chain management.